AI Modelling Services Manager
Job in
Midrand, Gauteng, South Africa
Listed on 2026-08-30
Listing for:
Network Finance
Full Time
position Listed on 2026-08-30
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
You will be responsible for driving end-to-end AI solution delivery, from strategy and solution design through to deployment and production support. Working closely with clients and cross-functional teams, you will lead the development of scalable, enterprise-grade AI products and solutions, mentor technical teams, and help organisations realise the business value of AI through innovative and practical implementations.
Key Responsibilities:- Lead the end-to-end delivery of AI, Machine Learning, and Generative AI projects.
- Design, develop, deploy, and ope rationalise production-grade AI solutions.
- Build, fine-tune, evaluate, and optimise Large Language Models (LLMs).
- Develop Agentic AI solutions and intelligent automation capabilities.
- Lead AI application and product development initiatives from concept to production.
- Engage with clients to understand business challenges and identify AI-driven solutions.
- Facilitate solution design workshops and provide strategic AI advisory services.
- Oversee AI model deployment, monitoring, governance, and performance management.
- Drive the development of reusable AI frameworks, accelerators, and best practices.
- Manage project timelines, budgets, resources, and stakeholder expectations.
- Mentor and develop AI Engineers, Data Scientists, and technical team members.
- Collaborate with architects, developers, and business stakeholders to deliver successful outcomes.
- Ensure adherence to responsible AI, security, compliance, and governance standards.
- Drive continuous innovation across AI delivery and operational processes.
- Bachelor's Degree in:
- Computer Science
- Data Science
- Engineering
- Actuarial Science
- Information Technology
- Mathematics
- Statistics or a related field
- Honours Degree
- Master's Degree in a relevant quantitative or technology discipline
- Minimum 5 years' experience in Artificial Intelligence, Machine Learning, Data Science, AI Engineering, or a related field.
- Minimum 2 years' people management experience leading technical teams.
- Proven experience building and deploying production-grade LLM and Generative AI solutions
. - Experience delivering enterprise AI products and applications from design through to production.
- Strong client-facing consulting or stakeholder engagement experience.
- Proven project management experience delivering multiple complex technology projects.
- Experience implementing AI governance, monitoring, and operationalisation frameworks.
- Exposure to cloud-based AI and data platforms.
Skills:
- Large Language Models (LLMs)
- Generative AI
- Agentic AI and Multi-Agent Systems
- Retrieval-Augmented Generation (RAG)
- Prompt Engineering
- Fine-Tuning and Model Optimisation
- Machine Learning and Deep Learning
- LLMOps and MLOPs
- Intelligent Automation
- AI Product Development
- AI Solution Architecture
- Python Development
- API Development and Integration
- Cloud-Based AI Solutions
- Model Deployment and Production Support
Competencies:
- Strong leadership and people management skills.
- Excellent stakeholder engagement and client relationship management abilities.
- Commercial mindset with strong consulting capability.
- Exceptional problem-solving and analytical thinking skills.
- Strong communication and presentation skills.
- Ability to influence both technical and non-technical audiences.
- Solutions-driven approach with strong attention to detail.
- Ability to manage multiple priorities in a fast-paced environment.
- Passion for innovation and emerging AI technologies.
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